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celeris · Balanced

Celeris 1

Added Jul 25, 2026

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Use in the app

Celeris 1 is a diffusion language model built for ultra-low-latency classification, extraction, judging, query rewriting, and other short structured responses.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$2.00
Output
$6.00

Reference prices as published by the model provider. API example

Specifications

Context window
8.2K
Max output
8.2K

Side by side

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TryPhi 4 MiniLlama 4 ScoutMistral SabaAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

6.3

Better than 4% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    14.4

    Composite of the coding evaluations

    Better than 8% of 168 scored models

Agentic work

  • AutomationBench-AA

    0.4%

    Workflow automation, penalized for guardrail violations

    Better than 4% of 173 scored models

  • AutomationBench-AA tasks completed

    0.2%

    Workflows finished end to end without a guardrail violation

    Better than 13% of 173 scored models

  • AA-Briefcasev1.1

    151 Elo

    Agentic knowledge work, rated head to head

    Better than 3% of 166 scored models

  • GDPval-AAv2.1

    301 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 4% of 187 scored models

Document reasoning

  • GDP.pdf

    1.2%

    Professional reasoning over PDF documents, all-pass rate

    Better than 4% of 171 scored models

  • AA-LCRv1.1

    38.0%

    Reasoning across long documents

    Better than 17% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    6.8%

    Expert-level questions across academic fields

    Better than 24% of 323 scored models

  • GPQA Diamond

    63.1%

    Graduate-level science questions

    Better than 19% of 291 scored models

  • MMLU-Pro

    78.0%

    Multi-subject knowledge and reasoning

    Better than 39% of 132 scored models

Coding

  • Terminal-Benchv4.0

    0.0%

    Practical software engineering in a terminal

    Better than 0% of 171 scored models

  • SciCode

    21.6%

    Scientific computing in Python

    Better than 2% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    38.0%

    Long-context reasoning, earlier grading

    Better than 17% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "celeris-1",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="celeris-1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)